IoT Security Anomaly LSTM Research

€8-30 EUR

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3개월 전

€8-30 EUR

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I am currently embarking on a research project focused on enhancing IoT security through the development of an LSTM (Long Short-Term Memory) model capable of detecting anomalies. My aim is to pioneer preventative measures against potential security threats within IoT systems. This research does not involve live IoT network infrastructures nor specific IoT devices like temperature sensors, motion detectors, or humidity sensors. Instead, it operates within a simulated environment designed for research purposes, with a keen interest in identifying and analyzing security-related anomalies. ### Ideal Skills and Experience: - Proficiency in deep learning, specifically with experience in LSTM models. - Understanding of IoT security challenges and familiarity with common security threats. - Experience in conducting research and development (R&D) projects, preferably related to IoT. - Ability to simulate IoT environments and anomalies for model training and testing. - Knowledge of programming languages and tools relevant to machine learning and IoT (e.g., Python, TensorFlow, Keras). - Strong analytical and problem-solving skills, especially in anomaly detection and security. ### Project Goals: - To develop an LSTM model that can accurately identify security anomalies in simulated IoT environments. - To contribute to the body of knowledge in IoT security by addressing the lack of efficient security anomaly detection systems. This project is an exciting opportunity for someone with a background in machine learning, deep learning, and IoT security, aiming to make a significant impact in the field of IoT security research. Your expertise will play a crucial role in paving the way for more secure IoT systems in the future.

프로젝트 ID: 37794124

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프로젝트를 수여된 사용자:

@shivampanchal

€0 EUR 7일에

4.8

(75 건의 리뷰)

7.2

10 이 프로젝트에 프리랜서들의 평균 입찰은 €81 EUR입니다.

@mobimubasir

Hello. I read your requirement i will do that. Please come on chat we will discuss more about this. I will waiting your reply.

€30 EUR 1일에

5.0

(18 건의 리뷰)

4.4

@citijayamala

I am an expert in writing research papers on enhancing IoT security and also projects on LSTM model. I read your project description and I am sure that I can handle your project. Also, an expert in Research writing, research reports, essays and advance essays, dissertations. I will ensure that your project will be delivered on time with high standard. Expert in all referencing styles (APA/ Harvard / IEEE /MLA/etc.). 100 % Assurance on zero percent plagiarism. TURNITIN / COPYSCAPE plagiarism report will be provided along with completed work Assistance will be provided with the number of clarifications until client satisfaction I will provide assistance even after the payment. And will maintain data (content) security. Free Turnitin plagiarism report Free Referencing I have more than 9 years This is my profile: https://www.freelancer.in/u/citijayamala

€80 EUR 3일에

4.6

(5 건의 리뷰)

4.5

@artazim

As an experienced Full Stack developer with proficiency in Python and expertise in JavaScript for building REST APIs, I bring a unique blend of skills to your IoT Security Anomaly LSTM research project. While my background might differ from the traditional machine learning and LSTM domain, my experience has honed my comprehensive problem-solving and analytical mindset that is essential for anomaly detection and security enhancement you seek. Moreover, I am well-versed in deploying applications on cloud platforms like AWS, GCP and Azure - a key aspect of this project as you want to simulate IoT environments. My knowledge and practice of DevOps tools like Docker and Ansible will further prove valuable as they allow for efficient reproducibility and deployment of environments needed for comprehensive testing. Furthermore, my curiosity and knack for continuous learning have equipped me with the adaptability and tenacity to quickly delve into new areas of research. Together, we can develop an LSTM model that accurately detects anomalies within simulated IoT environments- generating robust preventative measures. Choosing me isn't just about getting things done, it's about having someone who is genuinely passionate about making IoT systems safer through innovative research. Let's embark on this journey towards a more secure IoT landscape!

€300 EUR 7일에

5.0

(4 건의 리뷰)

4.0

@Fariz666

With my profound knowledge and hands-on experience in Python and Pytorch, as well as my valuable insights into Data Science & Machine Learning, I present myself as a fitting candidate for your IoT Security Anomaly LSTM Research project. Having transitioned from web development to blockchain work, my ability to adapt signifies my versatility. I understand the pressing need for secure IoT systems, which makes me deeply invested in your project's purpose. Moreover, I have spent significant time broadening my expertise in deep learning, specifically LSTM models. This puts me in line with your research goals of creating an efficient anomaly-detection system within simulated IoT environments. By leveraging my analytical mindset and problem-solving acumen, I can contribute substantially to your project while adhering strictly to timelines and maintaining high-quality work. By hiring me, you won't just be bringing someone with the right technical skillset onto your team; you'll be welcoming the earnest spirit of someone determined to make a positive impact on IoT security's future. Let's ensure a more secure IoT ecosystem through this pioneering research!

€200 EUR 5일에

5.0

(1 건의 리뷰)

2.0

@Saurabhs6762

Excited about your IoT security project, I bring expertise in deep learning, specifically LSTM models, and a solid R&D background in IoT. Proficient in Python, TensorFlow, and Keras, I am well-equipped to develop the anomaly detection system within the simulated environment you've outlined. My skills align perfectly with your ideal requirements, including a nuanced understanding of IoT security challenges and hands-on experience in simulating IoT environments for model training. I am committed to contributing to your project's goals by pioneering an LSTM model for accurate security anomaly detection. This opportunity resonates with my passion for enhancing IoT security, and I am confident that my expertise can make a significant impact on your research. Let's discuss how my skills can drive the success of your innovative project.

€25 EUR 1일에

5.0

(2 건의 리뷰)

1.8

@CharlesZianPro

With a rare fusion of skills in Python and TensorFlow, I am eager to bring potent and practical knowledge to your IoT security anomaly LSTM research. I have ample experience in both machine learning and the development of LSTM models. Throughout my career, my primary focus has been leveraging technology for maximum efficiency and efficacy- a principle that aligns perfectly with your objectives. Drawing on my familiarity with IoT security issues and the challenges they pose, I understand the importance of preventing potential threats in simulated environments, even before they become a reality. My knack for problem-solving has propelled me to pioneer innovative solutions in this space regularly, which translated into discovering effective ways to detect and analyze security-related anomalies. Moreover, as someone who thrives on delivering impressive results, equity and accountability underscore my modus operandi. I understand that research projects like these are driven by accuracy and thoroughness. Rest assured that I will work diligently around the clock (unless temporarily unavailable), to not only meet stringent deadlines but also shape a project that will revolutionize IoT security. With me, you can count on more than just the development of an LSTM model; you can trust on voicing integral insights for the entire industry to learn from and act upon

€19 EUR 7일에

0.0

(1 건의 리뷰)

0.0

@briangridconsul

Hello. I am interested to know more of this project as i have experience using LSTM with GRU to build a fintech prediction model, along with knowledge in industrial IoT systems.

€19 EUR 7일에

0.0

(0 건의 리뷰)

0.0

@gabrielelias2

I am an expert in artificial intelligence and i am also a researcher, so i feel qualifiel to do the work.

€19 EUR 7일에

0.0

(0 건의 리뷰)

0.0

@abdullahhashmi94

After reading about your project, I'm excited to share that I can help bring your vision to life. My experience with anomaly detection in IoT devices across large distributed environments has given me a solid foundation in the challenges and solutions related to IoT security. I've worked with LSTM models before, which positions me well to tackle the project's goals. My background in deep learning, combined with practical skills in Python, TensorFlow, and Keras, means I'm ready to develop a system that can identify security anomalies in simulated IoT environments.

€100 EUR 7일에